Gertrude Case Buehring
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Sean PhilpottK. Yeon ChoiHanne M. JensenHua ShenXiangrong ZhaoDeepti JoshiDaniel SchwartzGerard J. Nuovo
- Topics
- T-cell and Retrovirus Studies (23 papers)Animal Disease Management and Epidemiology (19 papers)Vector-Borne Animal Diseases (13 papers)
- Partner nations
- United StatesColombiaAustralia
In The Last Decade
Gertrude Case Buehring
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Immunology 749
- Agronomy and Crop Science 589
- Ecology, Evolution, Behavior and Systematics 385
- Oncology 363
- Molecular Biology 320
Countries citing papers authored by Gertrude Case Buehring
This map shows the geographic impact of Gertrude Case Buehring's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gertrude Case Buehring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gertrude Case Buehring more than expected).
Fields of papers citing papers by Gertrude Case Buehring
This network shows the impact of papers produced by Gertrude Case Buehring. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gertrude Case Buehring. The network helps show where Gertrude Case Buehring may publish in the future.
Co-authorship network of co-authors of Gertrude Case Buehring
This figure shows the co-authorship network connecting the top 25 collaborators of Gertrude Case Buehring. A scholar is included among the top collaborators of Gertrude Case Buehring based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gertrude Case Buehring. Gertrude Case Buehring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 56 | |
| 3 | 64 | |
| 4 | 105 | |
| 5 | 35 | |
| 6 | 34 | |
| 7 | 27 | |
| 8 | Bovine leukemia virus infection is significantly associated with risk of breast cancer | 7 |
| 9 | 21 | |
| 10 | 60 | |
| 11 | 14 | |
| 12 | 70 | |
| 13 | 75 | |
| 14 | 17 | |
| 15 | 19 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | Tamoxifen and its metabolites: binding to the estrogen receptor and growth effects on breast cancer cells | 1 |
| 20 | Growth rates of normal and abnormal human mammary epithelia in cell culture. | 29 |
About Gertrude Case Buehring
Gertrude Case Buehring is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (23 papers), Animal Disease Management and Epidemiology (19 papers) and Vector-Borne Animal Diseases (13 papers). The work is most often cited by research in Agronomy and Crop Science (589 citations), Immunology (749 citations) and Ecology, Evolution, Behavior and Systematics (385 citations). Gertrude Case Buehring has collaborated with scholars based in United States, Colombia and Australia. Frequent co-authors include Sean Philpott, K. Yeon Choi, Hanne M. Jensen, Hua Shen, Xiangrong Zhao, Deepti Joshi, Daniel Schwartz, Gerard J. Nuovo, Gladys Block and Mark Hudes. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.